How Temperature Shapes Ideological Discourse in Retrieval-Augmented Generation?
Retrieval-Augmented Generation (RAG) has been increasingly adopted to reduce hallucinations and strengthen the factual grounding of large language models (LLMs). While robustness to errors in the retrieval process has been explored, the imp
https://arxiv.org/abs/2607.11783v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
None
How close the company’s idea is to your thesis statement
Sector
llm
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market → stable
▸ Add / edit details
Correct facts used on the next screening or memo.
People
E
Elmira Salari
1.0
low confidence
H
Hazem Amamou
1.0
low confidence
J
José Victor de Souza
1.0
low confidence
S
Shruti Kshirsagar
1.0
low confidence
M
Maria Nunes Delfino
1.0
low confidence
A
Anderson Avila
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Chris Osborn
Firecrawl
· Active
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